Simulated mean historical area burned (1971-2000 average per ~4 km pixel) for AZ and NM, USA

Sep 24, 2012 (Last modified Oct 4, 2012)
Dataset was scientifically peer reviewed
Description:
This dataset represents the historical mean annual area burned per ~ 4 km pixel, averaged for each HUC5 watershed, simulated by the model MC1 for the 30-year period 1971-2000. 

Historical mean area burned per year (in square meters) per ~4 km pixel was averaged across each HUC5 watershed. Watersheds represent 5th level (HUC5, 10-digit) hydrologic unit boundaries and were acquired from the Natural Resources Conservation Service. 

Background: The dynamic global vegetation model MC1 (see Bachelet et al.2001) was used to simulate vegetation dynamics, associated carbon and nitrogen cycle, water budget, and wild fire impacts for OR, WA, AZ and NM, for a project funded by the USDA Forest Service (PNW09-JV-11261900-003). 

The MC1 model was run using historical data and future climate change projections from three general circulation models: CSIRO Mk3, MIROC 3.2 medres, and Hadley CM3. Future scenario datasets were generated through statistical downscaling using a simple anomaly method. Historical climate input data were provided by the PRISM group (Chris Daly, Oregon State University) at a 30 arc-second (~800 m) spatial grain. 

This project was funded through the U.S. Forest Service by the American Recovery and Reinvestment Act and also in part by the Western Wildland Environmental Threat Center.
Data Provided By:
 Conservation Biology Institute
Content date:
not specified
Citation:
M.A. Hemstrom, J.E. Halofsky, D.R. Conklin, J.M. Halofsky, B.K. Kerns, and D. Bachelet. Assessing potential climate change effects on vegetation using a coupled model approach. In 
press. Ecological Applications.
Spatial Resolution:
~ 4 km, HUC5 watershed
Contact Organization:
 Conservation Biology Institute
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Creative Commons LicenseThis work is licensed under a Creative Commons Attribution 3.0 License.
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Conservation Biology Institute

The Conservation Biology Institute (CBI) provides scientific expertise to support the conservation and recovery of biological diversity in its natural state through applied research, education, planning, and community service.